GC: n
CT: The speech is primary mode of communication among human being and also the most natural and efficient form of exchanging information among human in speech. So, it is only logical that the next technological development to be natural language speech recognition for HCI. Speech Recognition can be defined as the process of converting speech signal to a sequence of words by means Algorithm implemented as a computer program. Speech processing is one of the exciting areas of signal processing. The goal of speech recognition area is to developed technique and system to developed for speech input to machine-based on major advanced in statically modeling of speech, automatic speech recognition today find widespread application in task that require human machine interface such as automatic call processing. Since the 1960s computer scientists have been researching ways and means to make computers able to record interpret and understand human speech. Throughout the decades
this has been a daunting task. Even the most rudimentary problem such as digitalizing (sampling) voice was a huge challenge in the early years. It took until the 1980s before the first systems arrived
which could actually decipher speech.
S: http://www.researchgate.net/profile/Pravin_Yannawar/publication/49587837_A_Review_on_Speech_Recognition_Technique/links/542ea7510cf277d58e8ed0bf.pdf (last access: 26 February 2015)
N: Processing of speech signals such as speech analysis, speech synthesis, speech recognition, voice store and forward, and vocoders. (ISO/IEC, JTC1/SC1, N1609, 1994).
S: TERMIUMPLUS
SYN:
S:
